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infrastructure. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership of engineering
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. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership of analytical projects
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to sustainability research to join Communications Sustainability (https://www.nature.com/commssustain/ ). Communications Sustainability is a multidisciplinary open-access journal publishing high-quality research
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and its participating institutions. In this context, we are particularly keen to identify candidates who can link bio- and geosciences and/or bridge across temporal or spatial scales. The professorship
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domestic wildlife, and the inhabitants of the Jura Mountains 2) Spatial and temporal analysis of hunting pressure and lynx presence within the study area 3) Population dynamics of chamois and roe deer in a
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The Laboratory of Dr. Chongzhi Zang in the Department of Genome Sciences at the University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field
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bioinformatician position at Lund University! National Bioinformatics Infrastructure Sweden (NBIS; https://nbis.se) is a large national infrastructure in rapid development providing support, tools and training
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Overview The Postdoctoral Research Associate will be contributing to two projects, an EPSRC funded project and a Kidney Research UK (KRUK) funded project. Both projects aim to utilise a novel
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architectures for (bio)medical research and hybrid models that combine deep learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based
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Assistant Professor in Marine Biology & Ecology - Biomedical Science or Quantitative Systems Ecology
ecologist working in coastal systems, who applies modern approaches in causal inference, experimental ecology, spatial modelling, and data science, including the use of machine learning to produce rigorous